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Data structures for intelligently resolving deterministic and probabilistic device identifiers to device profiles and/or groups

机译:用于智能地将确定性和概率性设备标识符解析为设备配置文件和/或组的数据结构

摘要

An electronic device identifier mapping and resolution system are disclosed which may be used to analyze various device identifiers associated with an online event initiated by a particular device in applying a matching algorithm to determine a unique device identifier and/or device profile for the device. Device identifiers provided from disparate sources (such as web browser cookies, network IP addresses, device-specific identifiers, application-specific identifiers, custom identifiers, probabilistic identifiers, etc.), including both deterministic and/or probabilistic identifiers, may be analyzed according to the matching algorithm to determine a device identifier associated with the device. Matching algorithms may be customized and configured to a high degree of complexity for respective entities, such as to analyze disparate device identifiers according to a variety of identifier comparison functions and matching tiers. Matching algorithms may include conditional requirements that streamline execution of such algorithms, e.g., which may reduce processor load and increase execution time, such as conditional requirements that bypass portions of the matching algorithm based on particular identifiers associated with the online event that are initially analyzed.
机译:公开了一种电子设备标识符映射和解析系统,其可以在应用匹配算法以确定该设备的唯一设备标识符和/或设备配置文件时,用于分析与由特定设备发起的在线事件相关联的各种设备标识符。可以根据分析来自不同来源的设备标识符(例如Web浏览器cookie,网络IP地址,设备特定的标识符,应用程序特定的标识符,自定义标识符,概率标识符等),包括确定性标识符和/或概率标识符。匹配算法确定与该设备相关联的设备标识符。匹配算法可以被定制并且针对各个实体被配置为具有高度复杂性,诸如以根据各种标识符比较功能和匹配层来分析不同的设备标识符。匹配算法可以包括简化此类算法的执行的条件要求,例如,这可以减少处理器负载并增加执行时间,诸如基于与最初分析的在线事件相关联的特定标识符绕过匹配算法的各部分的条件要求。

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